Nonnegative matrix factorization (NMF) has become a widely used tool for the analysis of
high-dimensional data as it automatically extracts sparse and meaningful features from a set …

Identifying the underlying structure of a data set and extracting meaningful information is a
key problem in data analysis. Simple and powerful methods to achieve this goal are linear …

The simultaneous orthogonal matching pursuit (SOMP) algorithm aims to find the joint
support of a set of sparse signals acquired under a multiple measurement vector model …

The simultaneous orthogonal matching pursuit (SOMP) is a popular, greedy approach for
common support recovery of a row-sparse matrix. However, compared to the noiseless …

In this article, the performance optimization of sub-Nyquist spectrum sensing via the
Modulated Wideband Converter (MWC) is studied. The MWC allows to recover signals that …

In the applications like spatial modulation in multi-antenna systems, multi-user detection in
sensor networks and massive random access in machine to machine communications, the …

Multiband signal is an important signal in radar and communication systems, which is
generally sparse and with a wide spectrum. Due to the wide spectral range of multiband …

Yuneisy Esthela García Guzmán Direction Finding Techniques Based on Compressive
Sensing and Multiple Candidates Page 1 Yuneisy Esthela García Guzmán Direction …